Problems running examples in IDEA

2014-08-24 Thread Ron Gonzalez
Hi, After getting the code base to compile, I tried running some of the scala examples. They all fail since it can't find classes like SparkConf. If I change the iml file to convert provided scope from PROVIDED to COMPILE, I am able to run them. It's simple by doing the following in the

Re: Problems running examples in IDEA

2014-08-24 Thread Sean Owen
The examples aren't runnable quite like this. It's intended that they are submitted to a cluster with spark-submit, which would among other things provide Spark at runtime. I think you might get them to run this way if you set master to local[*] and indeed made a run profile that also included

Re: Problems running examples in IDEA

2014-08-24 Thread Ron Gonzalez
Oh ok. So from the code base, local execution is dependent on everyone's way then, right? I am indeed changing the code to add the master to local[*], but still getting the no classdef found errors. If that's the case, then I think I'm ok then... Thanks, Ron On 08/24/2014 04:21 PM, Sean

Re: Working Formula for Hive 0.13?

2014-08-24 Thread scwf
I have worked for a branch update the hive version to hive-0.13(by org.apache.hive)---https://github.com/scwf/spark/tree/hive-0.13 I am wondering whether it's ok to make a PR now because hive-0.13 version is not compatible with hive-0.12 and here i used org.apache.hive. On 2014/7/29 8:22,

Re: Mesos/Spark Deadlock

2014-08-24 Thread Matei Zaharia
Yeah, Mesos in coarse-grained mode probably wouldn't work here. It's too bad that this happens in fine-grained mode -- would be really good to fix. I'll see if we can get the workaround in https://github.com/apache/spark/pull/1860 into Spark 1.1. Incidentally have you tried that? Matei On

Re: Mesos/Spark Deadlock

2014-08-24 Thread Timothy Chen
+1 to have the work around in. I'll be investigating from the Mesos side too. Tim On Sun, Aug 24, 2014 at 9:52 PM, Matei Zaharia matei.zaha...@gmail.com wrote: Yeah, Mesos in coarse-grained mode probably wouldn't work here. It's too bad that this happens in fine-grained mode -- would be

Re: Low Level Kafka Consumer for Spark

2014-08-24 Thread Dibyendu Bhattacharya
Hi, Just to give you some update on this low level consumer ( https://github.com/dibbhatt/kafka-spark-consumer), we at Pearson have been doing good amount load and stress testing for last few weeks and initial test results are very impressive. We did not see any data loss, no issue related to